Search result for 'Cost-Tracking'

This task aggregates CPU utilization data for running RDS instances across an AWS account, computes the average CPU usage over a specified period, and plots the average to help in assessing overall resource efficiency.

This runbook provides a comprehensive guide for setting up and configuring AWS Cost and Usage Reports (CUR) to be delivered to an S3 bucket. It covers the process from creating a new S3 bucket, updating its policy for CUR compatibility, to configuring the CUR settings to target the created bucket.

This task retrieves AWS EC2 instance rightsizing recommendations using AWS Compute Optimizer, identifying cost-saving and performance-enhancing opportunities by analyzing usage patterns. It suggests optimal instance types or sizes, ensuring efficient resource utilization.

This task utilizes AWS Compute Optimizer to fetch rightsizing recommendations for AWS EC2 instances, aiming to optimize instance sizes based on actual usage. It assesses whether instances are under-utilized or over-utilized, suggesting adjustments to enhance performance and reduce costs. By querying across specified or all regions, it allows for a comprehensive optimization strategy, ensuring ...

This task provides a comprehensive analysis of AWS expenses through five key modules. It categorizes costs by AWS services, identifies primary cost drivers and more. The analysis charts expenses over time and breaks down costs by AWS account IDs to pinpoint major spenders aiding in efficient financial forecasting and planning.

The AWS Cost and Usage Report (CUR) provides a comprehensive view of AWS expenses and resource utilization over a specified period. By analyzing the CUR, organizations can gain deep insights into their cloud spending patterns, identify cost drivers, and optimize their AWS resource utilization. This report allows for granular cost tracking by various dimensions, including services, regions and ...

This runbook focuses on the end-to-end management of AWS costs, starting from the initial setup of CUR reports in S3 buckets to detailed tracking and analysis of these reports for effective cost control and insights.

This task processes the AWS Cost and Usage Report (CUR) from an S3 bucket. Using the boto3 SDK, it retrieves a gzipped CSV, decodes it, and converts it into a Pandas DataFrame for analysis.

This task conducts a temporal analysis, showcasing daily AWS expenses over a set duration. It offers a day-by-day breakdown of AWS spending trends. The accompanying line graph vividly displays these fluctuations, where peaks signify higher costs and troughs indicate savings. This visual aid empowers users to pinpoint spending patterns, anomalies, or unexpected cost surges, thus facilitating en...

This task visualizes daily costs associated with various Amazon EC2 instance types over a chosen period, highlighting their unique cost structures. Given the diverse configurations of each EC2 instance type, understanding their individual cost dynamics is essential. The chart provides a daily cost breakdown for each type, helping users discern the most cost-intensive instances and their peak p...

This task efficiently categorizes AWS expenses, providing a visual breakdown through a bar chart. By analyzing unblended costs, it highlights the most expensive AWS services.

This task offers a concise view of AWS expenses by individual account IDs, aggregating unblended costs for each account. It highlights the spending patterns of various accounts, pinpointing those with the highest costs. Such insights are invaluable for organizations with multiple AWS accounts, aiding in efficient budget allocation and cost management by identifying potential overspends or reso...

This task involves comparing daily cost of all RDS Instances in an AWS Account, helping organizations choose the most economical options for their database needs while optimizing their AWS budget